Embedded Design

Artificial Intelligence and Edge Computing

The innovations of artificial intelligence (“AI”) and the advancements of CMOS technology have enabled new areas of applications by leveraging machine learning in data analytics with local computing resources.

By exploiting deep structured neural network accelerators and compression techniques, supporting major frameworks interfaces like Caffe, TensorFlow and MxNet to access the large AI libraries, and implementing the architecture on Zynq FPGA with an ARM based processors and programmable logics to create a flexible reconfigurable platform to yield a performance-power efficient solution with constantly updated algorithms.

The solution for an AI platform to perform edge processing created new applications in emerging markets such as video and image recognition in surveillance, speech recognition and natural language processing in e-commerce, autonomous driving in transportation, precision medicine in healthcare, and field drones and robots in industrial and military.

Industry standard Software Development Processes are used with a strong emphasis on quality, software reusability and robustness. Emphasis is placed on comprehensive design, with rigorous reviews and fully automated host-based testing, leading to a more reliable product in a shorter lifecycle.

Addvalue has developed many applications for use with its fleet of terminals. In the area of telemetry service, these applications include remote autonomous machine monitoring and data reporting. Applications such as Long Range Identification Tracking (“LRIT”), Vessel Monitoring System (“VMS”) and Ship Security Alert System (“SSAS”) are integrated into Addvalue’s terminals for SCADA or maritime safety. Other applications, including G3 Fax support over Satellite, call management such as call log, call barring and security features such as SIM lock, have also been successfully implemented.

Addvalue has also developed user-friendly Graphical User Interface for the various satellite terminals via built-in web console and proprietary handset interface.

Apart from the above, emphasis is placed on comprehensive design with regard to Industry Standard Software Development Processes plus rigorous reviews and fully automated host-based testing, so as to assure quality, software reusability and robustness in leading to a more reliable product in a shorter lifecycle.